365 Data Science - Introduction to R Programming [CoursesGhar]

收录时间:2021-08-28 01:21:12
文件大小:3GB
下载次数:1
最近下载:2021-08-28 01:21:12
磁力链接:
magnet:?xt=urn:btih:bfac6ce9baaffd400c6a7eac5a92715296425af8

立即下载 复制链接

文件列表

8. Manipulating data/1. Intro.mp4 106MB
4. Vectors and vector operations/1. Intro.mp4 88MB
11. Hypothesis Testing/1. Distributions.mp4 81MB
2. Getting started/1. Intro.mp4 75MB
9. Visualizing data/1. Intro.mp4 73MB
9. Visualizing data/8. Building a scatterplot with ggplot2.mp4 66MB
8. Manipulating data/6. Tidying your data - gather() and separate().mp4 63MB
2. Getting started/5. Installing packages and using the library.mp4 56MB
3. The building blocks of R/7. Building a function in R.mp4 50MB
9. Visualizing data/5. Building a histogram with ggplot2.mp4 50MB
9. Visualizing data/3. Intro to ggplot2.mp4 49MB
4. Vectors and vector operations/5. Getting help with R.mp4 49MB
5. Matrices/6. Matrix arithmetic.mp4 47MB
10. Exploratory data analysis/5. Covariance and correlation.mp4 45MB
2. Getting started/3. Quick guide to the RStudio user interface.mp4 43MB
5. Matrices/9. Creating a factor in R.mp4 42MB
9. Visualizing data/7. Building a box and whiskers plot with ggplot2.mp4 41MB
4. Vectors and vector operations/6. Slicing and indexing a vector.mp4 40MB
12. Linear Regression Analysis/1. The Linear Regression Model.mp4 40MB
11. Hypothesis Testing/2. Standard Error and Confidence Intervals.mp4 40MB
9. Visualizing data/6. Building a bar chart with ggplot2.mp4 39MB
11. Hypothesis Testing/8. Comparing Two Means. Dependent Samples.mp4 38MB
5. Matrices/1. Creating a matrix.mp4 38MB
7. Data frames/1. Creating a data frame.mp4 38MB
11. Hypothesis Testing/5. Test for the Mean. Population Variance Known.mp4 38MB
8. Manipulating data/2. Data transformation with R - the Dplyr package - Part I.mp4 38MB
12. Linear Regression Analysis/5. How to Interpret the Regression Table.mp4 36MB
6. Fundamentals Of Programming With R/6. For Loops in R.mp4 36MB
10. Exploratory data analysis/4. Variance, standard deviation, and coefficient of variability.mp4 34MB
7. Data frames/8. Extending a data frame in R.mp4 34MB
7. Data frames/9. Dealing with missing data.mp4 34MB
5. Matrices/7. Matrix operations.mp4 33MB
11. Hypothesis Testing/7. Test for the Mean. Population Variance Unknown.mp4 33MB
10. Exploratory data analysis/2. Mean, median, mode.mp4 33MB
7. Data frames/7. Indexing and slicing a data frame in R.mp4 32MB
5. Matrices/10. Lists in R.mp4 32MB
12. Linear Regression Analysis/7. R-Squared.mp4 31MB
6. Fundamentals Of Programming With R/10. Scoping in R _ Building a Function in R 2.0 (Ctnd).mp4 31MB
11. Hypothesis Testing/6. The P Value.mp4 31MB
6. Fundamentals Of Programming With R/4. If, Else, Else-If Statements.mp4 31MB
5. Matrices/4. Indexing an element from a matrix.mp4 30MB
3. The building blocks of R/1. Creating an object in R.mp4 30MB
4. Vectors and vector operations/7. Changing the dimensions of an object in R.mp4 29MB
9. Visualizing data/4. Variables - revisited.mp4 29MB
11. Hypothesis Testing/9. Comparing Two Means. Independent Samples.mp4 29MB
7. Data frames/2. The Tidyverse package.mp4 28MB
2. Getting started/2. Downloading and installing R _ RStudio.mp4 28MB
7. Data frames/6. Getting a sense of your data frame.mp4 27MB
7. Data frames/4. Importing a CSV in R.mp4 27MB
3. The building blocks of R/2. Data types in R - Integers and doubles.mp4 27MB
11. Hypothesis Testing/4. Type I and Type II Errors.mp4 25MB
12. Linear Regression Analysis/4. Doing the Regression in R.mp4 25MB
8. Manipulating data/5. Using the pipe operator.mp4 24MB
6. Fundamentals Of Programming With R/7. While Loops in R.mp4 24MB
10. Exploratory data analysis/3. Skewness.mp4 24MB
8. Manipulating data/3. Data transformation with R - the Dplyr package - Part II.mp4 24MB
6. Fundamentals Of Programming With R/1. Relational Operators in R.mp4 24MB
5. Matrices/5. Slicing a matrix.mp4 23MB
5. Matrices/8. Categorical data.mp4 23MB
6. Fundamentals Of Programming With R/9. Building a Function in R 2.0.mp4 23MB
4. Vectors and vector operations/2. Introduction to vectors.mp4 23MB
12. Linear Regression Analysis/6. Decomposition of Variability.mp4 23MB
11. Hypothesis Testing/3. Hypothesis Testing.mp4 23MB
10. Exploratory data analysis/1. Population vs. sample.mp4 21MB
7. Data frames/3. Data import in R.mp4 21MB
3. The building blocks of R/3. Data types in R - Characters and logicals.mp4 21MB
6. Fundamentals Of Programming With R/5. If, Else, Else-If Keep-In-Minds.mp4 20MB
6. Fundamentals Of Programming With R/8. Repeat Loops in R.mp4 20MB
9. Visualizing data/2. Intro to data visualization.mp4 20MB
7. Data frames/5. Data export in R.mp4 20MB
3. The building blocks of R/5. Functions in R.mp4 20MB
8. Manipulating data/7. Tidying your data - unite() and spread().mp4 19MB
3. The building blocks of R/8. Using the script vs. using the console.mp4 19MB
4. Vectors and vector operations/4. Naming a vector.mp4 18MB
1. Introduction/1. Welcome to R programming.mp4 18MB
3. The building blocks of R/4. Coercion rules in R.mp4 18MB
5. Matrices/2. Faster code - creating a matrix in a single line of code.mp4 18MB
6. Fundamentals Of Programming With R/2. Logical Operators in R.mp4 16MB
3. The building blocks of R/6. Functions and arguments.mp4 14MB
2. Getting started/4. Changing the appearance in RStudio.mp4 12MB
8. Manipulating data/4. Sampling data with the Dplyr package.mp4 12MB
6. Fundamentals Of Programming With R/3. Logical Operators and Vectors.mp4 12MB
5. Matrices/3. Do matrices recycle.mp4 11MB
12. Linear Regression Analysis/2. Correlation vs. Regression.mp4 10MB
4. Vectors and vector operations/3. Vector recycling.mp4 10MB
12. Linear Regression Analysis/3. Geometrical Representation.mp4 6MB
Uploaded by [Coursesghar.com].txt 1KB
!! IMPORTANT Note !!.txt 298B
!!! Please Support !!! [CoursesGhar.Com].txt 197B
Join Our Telegram Group For More Updates !!!.url 138B
00. Websites You May Like/A1movies.com.pk.url 116B
00. Websites You May Like/CoursesGhar.com.url 114B
Visit coursesghar.com for more awesome tutorials.url 114B